Overview of this Lecture / week
Welcome to the first week of the module, Data Mining. We will only have a lecture this week (no lab work), but check out a few things you can work on to prepare for lab work over the coming weeks.
The lecture this week will take about 2 hours. The topic is an overview to the whole are of Data Mining/Data Science/Machine Learning/Predictive Analytics/… etc, whatever the current marketing trendy work or phrase they are using this week. This will include the context of the topic, examples of how it is being used industry, typical skills and what languages or products are being used. Sometimes it is a case of Theory vs Reality, what we constantly hear or ready about versus what companies are really doing and using
Click here to download notes for Week 1 – Data Mining Intro.
Videos of Notes
You will need a network account to be able to log into the computers in the lab.
Or you can use your own laptop. If you are going to use your own laptop then you need to complete Task 2
It is recommended that you use your own laptop for the Data Mining Labs.
We will be using SAS Enterprise Miner, and this is hosted by SAS on their cloud platform called SAS OnDemand.
You will need to have Java installed on your laptop. Following the instructions on the following link to install Java. You can install a more recent version of Java
NOTE: If you have a higher or more recent version of Java installed then you do not need to installed the version listed on SAS website.
You could use the PCs in each of the SoC computer labs, but this will mean you will need to download the SAS Enterprise Miner Java application each time you want to use it.
Download and install R language on your laptop.
This will be covered in the Working With Data module.
I’ll be giving some examples in R, along with some exercises.
What to prepare for next week
It is preferred if you use you own laptop for all lab work. This will allow you to work anywhere on the lab exercises.
Make sure you are using a supported version of Java needed for SAS Enterprise Miner. If not, you will need to upgrade the version of Java on your machine.
Additional Reading Materials